Intelligent Routing Protocols for Secure and Efficient Transmission of IoT Medical Data

Internet of Things (IoT) has an impact on many facets of life, but due to its modern nature, its tremendous repercussions on health sector are especially obvious. IoT plays a major role in health sector when combined with mobile computing. Recently, wireless medical care, which is significantly improved by mobile computing, is credited for a sizeable portion of advantages in IoT healthcare. Utilizing sensors, actuators, and transceivers, wearables provide a lot of information to IoT devices. On the other hand, there are several hazards, assaults, and data weaknesses. A strong security system is therefore, required to handle the safety, privacy, and susceptibility risks associated with IoT. Depending on optimized routing protocol, this article provides a scalable and reliable architecture for IoT-based healthcare data transferring technology. Initially, health information is gathered via a variety of IoT devices, including sensors and wearable technology. Through the use of data cleaning and data compression procedures, initial information is preprocessed. Local Binary Patterns (LBP) are used to derive the features from preprocessed data. The overall safety of information transfer is enhanced by utilizing Modified Particle Swarm Optimization (MPSO) algorithm for low power and Lossy Networks (LLN). The developed work efficacy is determined by comparing it to traditional methods for acquiring a smart healthcare system and suggested routing system offered an adaptable safe method of transmitting medical information with improved reliability and security.